Paper Citation Record · LEDGER

Predicting Emergent Abilities with Infinite Resolution Evaluation

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.03262.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2310.03262 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:41:46.090662Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T22:17:25.626466Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 693e8e80-0e28-4d49-b07c-f68181e9a1af · inbound

MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies cites this paper.

MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies Predicting Emergent Abilities with Infinite Resolution Evaluation

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-13T18:00:53.518870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 11019e95-ddbe-4a2b-be7a-53e65d49abc4 · inbound

Predicting Emergent Capabilities by Finetuning cites this paper.

Predicting Emergent Capabilities by Finetuning Predicting Emergent Abilities with Infinite Resolution Evaluation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T13:41:46.090662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0e756f0-18d3-49b4-89e3-968fcc49152b · inbound

Energy-Based Transformers are Scalable Learners and Thinkers cites this paper.

Energy-Based Transformers are Scalable Learners and Thinkers Predicting Emergent Abilities with Infinite Resolution Evaluation

Reference 149

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:40.484937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32681ef3-7630-422a-b447-7897d8520664 · inbound

Characterizing Model-Native Skills cites this paper.

Characterizing Model-Native Skills Predicting Emergent Abilities with Infinite Resolution Evaluation

Reference 91

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:11:20.619716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation eb72bf3e-9b4b-4c4b-9deb-14c202d85eac · inbound

Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale cites this paper.

Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Predicting Emergent Abilities with Infinite Resolution Evaluation

Reference 71

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T22:17:25.627988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.